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Record W4390043927 · doi:10.2307/jj.9891547

Remembering Our Relations

2023· book· en· W4390043927 on OpenAlexaboutno aff
SABINA TRIMBLE, PETER FORTNA

Bibliographic record

VenueUniversity of Calgary Press eBooks · 2023
Typebook
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

Wood Buffalo National Park is located in the heart of Dénesųłıuné homelands, where Dene people have lived from time immemorial. Central to the creation, expansion, and management of this park, Canada 's largest at nearly 45, 000 square kilometers, was the eviction of Dénesųłıuné people from their home, the forced separation of Dene families, and restriction of their Treaty rights. Remembering Our Relations tells the history of Wood Buffalo National Park from a Dene perspective and within the context of Treaty 8. Oral history and testimony from Dene Elders, knowledge-holders, leaders, and community members place Dénesųłıuné voices first. With supporting archival research, this book demonstrates how the founding, expansion, and management of Wood Buffalo National Park fits into a wider pattern of promises broken by settler colonial governments managing land use throughout the twentieth and twenty-first centuries. By prioritizing Dénesųłıuné histories Remembering Our Relations deliberately challenges how Dene experiences have been erased, and how this erasure has been used to justify violence against Dénesųłıuné homelands and people. Amplifying the voices and lives of the past, present, and future, Remembering Our Relations is a crucial step in the journey for healing and justice Dénesųłıuné peoples have been pursuing for over a century.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.986
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.260
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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